24/09/2025 às 07:09 Education

Pass the ISTQB CT-AI Exam with DumpsCafe Get 70% Discount Today

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The ISTQB CT-AI (Certified Tester – Artificial Intelligence) certification is a globally recognized credential for software testers who want to expand their expertise in artificial intelligence testing. As AI continues to reshape the future of technology, this certification validates your ability to apply AI principles in software testing, making you a highly valuable professional in the industry. Preparing for such a specialized exam requires the right resources, and that’s where DumpsCafe comes in. With our trusted ISTQB CT-AI exam dumps, you can prepare effectively and confidently. Best of all, you can now get these premium study materials at an exclusive 70% discount.

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DumpsCafe is known for offering accurate, up-to-date, and exam-focused preparation materials. For the ISTQB CT-AI certification exam, our dumps are designed to simulate the real test environment, giving you the confidence to perform well on exam day.

Benefits of DumpsCafe ISTQB CT-AI Dumps:

  • Real Exam Questions & Verified Answers – Practice with content that mirrors the actual exam.
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  • Regular Updates – Stay aligned with the latest ISTQB exam syllabus.
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Free demo questions:

Question 1

Which of the following problems would best be solved using the supervised learning category of regression?

ADetermining the optimal age for a chicken's egg laying production using input data of the chicken's age and average daily egg production for one million chickens.

BRecognizing a knife in carry on luggage at a security checkpoint in an airport scanner.

CDetermining if an animal is a pig or a cow based on image recognition.

DPredicting shopper purchasing behavior based on the category of shopper and the positioning of promotional displays within a store.



 

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Question 2

Before deployment of an AI based system, a developer is expected to demonstrate in a test environment how decisions are made. Which of the following characteristics does decision making fall under?

AExplainability

BAutonomy

CSelf-learning

DNon-determinism



 

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Question 3

"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real-

world data and the model was found to be behaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.

Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?

SELECT ONE OPTION

AThe difficulty of defining criteria for improvement before the model can be accepted.

BThe fast pace of change did not allow sufficient time for testing.

CThe unknown nature and insufficient specification of the operating environment might have caused the poor performance.

DThere was an algorithmic bias in the Al system.



 

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Question 4

Which ONE of the following approaches to labelling requires the least time and effort?

SELECT ONE OPTION

AOutsourced

BPre-labeled dataset

CInternal

DAl-Assisted



 

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Question 5

An e-commerce developer built an application for automatic classification of online products in order to allow customers to select products faster. The goal is to provide more relevant products to the user based on prior purchases.

Which of the following factors is necessary for a supervised machine learning algorithm to be successful?

ALabeling the data correctly

BMinimizing the amount of time spent training the algorithm

CSelecting the correct data pipeline for the ML training

DGrouping similar products together before feeding them into the algorithm

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https://www.dumpscafe.com/Braindumps-300-415.html




 

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Question 6

You are using a neural network to train a robot vacuum to navigate without bumping into objects. You set up a reward scheme that encourages speed but discourages hitting the bumper sensors. Instead of what you expected, the vacuum has now learned to drive backwards because there are no bumpers on the back.

This is an example of what type of behavior?

AError-shortcircuiting

BReward-hacking

CTransparency

DInterpretability



 

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Question 7

You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have determined this is because the developers are changing the identifiers when they make code updates.

How could AI help make the automation more reliable?

AIt could identify the objects multiple ways and then determine the most commonly used and stable identification for each object.

BIt could modify the automation code to ignore unrecognizable objects to avoid failures.

CIt could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation.

DIt could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly.

24 Set 2025

Pass the ISTQB CT-AI Exam with DumpsCafe Get 70% Discount Today

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